| Conditions | Values |
|---|---|
| N_sample | 100, 300, 500 |
| N_Items | 10, 50, 100 |
| Omega | 0, 0.5 |
| r^2 of Cov on LV | 0.1, 0.5 |
ML saw some extreme outliers, so the range of y is limited between -1 and 1 as the second plot.
Number of items means the number of items for the factor model (2pl).
Omega is the effect from the latent factor on the outcome (y).
0 means no relationship between the latent factor and y.
Power_on_latent is the proportion of latent variance explained by the two covariates.
0.1 means only 10% variance explained by two covariates.